Triple

T15949493
Position Surface form Disambiguated ID Type / Status
Subject Manu Dibango E386775 entity
Predicate familyName P18 FINISHED
Object Dibango
Dibango is the surname of Manu Dibango, the renowned Cameroonian saxophonist and pioneer of Afro-jazz.
 E1186111 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dibango | Statement: [Manu Dibango, familyName, Dibango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dibango
Context triple: [Manu Dibango, familyName, Dibango]
  • A. Ndungu
    Ndungu is a settlement located within Kenya’s Same District, known primarily as a small local community in this administrative area.
  • B. Yumbe
    Yumbe is a town in northern Uganda that serves as an important local administrative and commercial center near the border with South Sudan.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Bawiti
    Bawiti is the main town and administrative center of Egypt’s Bahariya Oasis, known for its proximity to archaeological sites and desert landscapes.
  • E. Mbita
    Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dibango
Triple: [Manu Dibango, familyName, Dibango]
Generated description
Dibango is the surname of Manu Dibango, the renowned Cameroonian saxophonist and pioneer of Afro-jazz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dibango
Target entity description: Dibango is the surname of Manu Dibango, the renowned Cameroonian saxophonist and pioneer of Afro-jazz.
  • A. Ndungu
    Ndungu is a settlement located within Kenya’s Same District, known primarily as a small local community in this administrative area.
  • B. Yumbe
    Yumbe is a town in northern Uganda that serves as an important local administrative and commercial center near the border with South Sudan.
  • C. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • D. Bawiti
    Bawiti is the main town and administrative center of Egypt’s Bahariya Oasis, known for its proximity to archaeological sites and desert landscapes.
  • E. Mbita
    Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d3cc04819097367369a78d6ef2 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe76df6481909f8246099faa377a completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf61b2ec81909c0f32613bb91a82 completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfddd0348190baab794f613c71bf completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.